Change ConvTranspose1D to ConvTranspose1d

test=develop

Author: wanghaoshuang

python/paddle/nn/layer/conv.py

@@ -15,13 +15,11 @@
 # TODO: define classes of convolutional neural network
 
 __all__ = [
- 'ConvTranspose1D',
+ 'ConvTranspose1d',
  'Conv2D',
  'ConvTranspose2d',
  'Conv3D',
  'ConvTranspose3d',
- # 'TreeConv',
- # 'Conv1D'
 ]
 
 import numpy as np
@@ -281,9 +279,9 @@ def forward(self, input):
  return out
 
 
-class ConvTranspose1D(layers.Layer):
+class ConvTranspose1d(layers.Layer):
  """
- This interface is used to construct a callable object of the ``Conv1DTranspose`` class.
+ This interface is used to construct a callable object of the ``ConvTranspose1d`` class.
  For more details, refer to code examples.
  The 1-D convolution transpose layer calculates the output based on the input,
  filter, and dilation, stride, padding. Input(Input) and output(Output)
@@ -394,7 +392,7 @@ class ConvTranspose1D(layers.Layer):
  .. code-block:: python
 
  import paddle
- from paddle.nn import ConvTranspose1D
+ from paddle.nn import ConvTranspose1d
  import numpy as np
  
  paddle.disable_static()
@@ -405,7 +403,7 @@ class ConvTranspose1D(layers.Layer):
  y=np.array([[[7, 0]],
  [[4, 2]]]).astype(np.float32)
  x_t = paddle.to_tensor(x)
- conv = ConvTranspose1D(2, 1, 2)
+ conv = ConvTranspose1d(2, 1, 2)
  conv.weight.set_value(y)
  y_t = conv(x_t)
  y_np = y_t.numpy()
@@ -427,8 +425,8 @@ def __init__(self,
  weight_attr=None,
  bias_attr=None,
  data_format="NCL"):
- super(ConvTranspose1D, self).__init__()
- assert weight_attr is not False, "param_attr should not be False in ConvTranspose1D."
+ super(ConvTranspose1d, self).__init__()
+ assert weight_attr is not False, "param_attr should not be False in ConvTranspose1d."
  self._param_attr = weight_attr
  self._bias_attr = bias_attr
  self._groups = groups